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Fun challenge though !
Interesting... honestly having seen some of GPT-3's output I'd be curious how well it performs here. One of the things that I think can still give GPT-3 away (GPT-2 as well) ... is that even if the text feels real, it lacks a deep emotional cohesion. Sometimes this can feel like an advanced word salad generator, some poetry can be recognizable this way, because some GPT poems can seem 90% real, but when compared to a…
More than A/B testing this might be a better fit for web site building tools like wix.com and and webflow.com
Slightly tangential: The GPT-3-generated article that humans had the greatest difficulty distinguishing from a human-written article, with an accuracy of only 12%[0], contains a flagrant contradiction in the first paragraph. > Title: United Methodists Agree to Historic Split > Subtitle: Those who oppose gay marriage will form their own denomination > Article: After two days of intense debate, the United Methodist Chu…
Slightly tangential: The GPT-3-generated article that humans had the greatest difficulty distinguishing from a human-written article, with an accuracy of only 12%[0], contains a flagrant contradiction in the first paragraph. > Title: United Methodists Agree to Historic Split > Subtitle: Those who oppose gay marriage will form their own denomination > Article: After two days of intense debate, the United Methodist Chu…
I think the cause is more that some religious group i dont care about having a schism isn't very interesting. Maybe i care that they're being homophobic, but i definitely don't actually care which side is forking and which side is staying as the original group. So I don't fully pay attention to the details unless i really force myself.
Slightly tangential: The GPT-3-generated article that humans had the greatest difficulty distinguishing from a human-written article, with an accuracy of only 12%[0], contains a flagrant contradiction in the first paragraph. > Title: United Methodists Agree to Historic Split > Subtitle: Those who oppose gay marriage will form their own denomination > Article: After two days of intense debate, the United Methodist Chu…
1) Humans often make logical errors
2) In the religious-split context, who is the original denomination and who is the splitting denomination is inherently fraught/subjective/liable-to-contradiction/open-to-changing-contextualisation, so its not a surprising mistake. The readers may have just assumed it was the author/speaker/washington post getting mixed up or projecting their own opinion, which may have contrasted with that expressed from the reports/attendees of the 'actual conference'.
(plus there's a good chance none of them could give two hoots about, or have any specific knowledge or interest in methodists...i have a religious studies degree and my eyes are already almost glazing over just at the mention of them to be honest :P)
Slightly tangential: The GPT-3-generated article that humans had the greatest difficulty distinguishing from a human-written article, with an accuracy of only 12%[0], contains a flagrant contradiction in the first paragraph. > Title: United Methodists Agree to Historic Split > Subtitle: Those who oppose gay marriage will form their own denomination > Article: After two days of intense debate, the United Methodist Chu…
Makes you think, how often does this happen with other writing?
Automated job applications
and
Automated job listings
Companies will use GPT-3 to generate job listings, and some company will curate a big database of good job applications (i.e those that have landed someone a job), and make a service where you feed in the listing, and out comes job application / letter.
I wouldn't be surprised if the result of the next election in a country would be decided by a Transformer based deep neural network. The dictator in my country is already paying stupid people to write stupid comments, GPT-3 is already over their level.
I've posted this before, but here's one service I can absolutely foresee: Automated job applications and Automated job listings Companies will use GPT-3 to generate job listings, and some company will curate a big database of good job applications (i.e those that have landed someone a job), and make a service where you feed in the listing, and out comes job application / letter.
I feel like GPT-3 is going to unleash the next wave of SEO spam. Content spinning will be taken to the next level, will Google be able to detect GPT-3 content?